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Binary classification with leaf6 months ago
Stage 1: Initialize the symbolic regressor | Stage 2: Discover equation skeletons | Stage 3: Fit parameters and compute loss | Stage 4: Evaluate additional metrics
leaf 0.1.0Francisco Martins classification_example.Rmd
Cross-Validation for Symbolic Regression6 months ago
leaf 0.1.0Francisco Martins cross_validation.Rmd
Getting Started with leaf6 months ago
Introduction | Load package | Initialize a symbolic regression analysis | Load the data | Define the formula | Search for candidate equations | Fit equation parameters | Evaluate equations | Make predictions | Inspect equation | See final results | Plot pareto front | Compute optimal threshold (only for classification tasks) | Save and load analysis
leaf 0.1.0Your Namegetting_started.Rmd
Initialization6 months ago
leaf 0.1.0Francisco Martins initialization.Rmd
Introduction to 2D Pareto Fronts6 months ago
leaf 0.1.0Francisco Martins pareto.Rmd
Manual Symbolic Regression: Testing Hypotheses6 months ago
Introduction | Installation | Load package | Define the formula and custom equations | Define the manual search | Load the data | Register equations | Fit parameters and inspect results
leaf 0.1.0Francisco Martins manual_engine.Rmd
Minimal Example: Quick Start6 months ago
leaf 0.1.0Francisco Martins minimal_example.Rmd
Multi-View Symbolic Regression with leaf6 months ago
leaf 0.1.0Francisco Martins MvSR.Rmd
Train-Test Splitting for Symbolic Regression6 months ago
leaf 0.1.0Francisco Martins train_test_split.Rmd